Introduction
Shenghong Ju is Associate Researcher in the School of Aerospace Engineering, Tsinghua University. He obtained his bachelor degree from Nanjing University of Aeronautics and Astronautics in 2008, and Ph.D. degree in Engineering Thermophysics from Tsinghua University in 2014. Dr. Ju conducted postdoctoral research in Ecole Centrale Paris and the University of Tokyo from 2014 to 2019, and he joined Shanghai Jiao Tong University as Associate Professor since 2019. He moved to Tsinghua University in 2025. His research interests include AI-driven materials design, nanoscale thermal transport, and advanced thermal management technologies. He has been funded by 10+ research projects and his research has led to 90+ peer-reviewed papers. He was awarded Young Scientist Award of Materials Genome Engineering (2022), Shanghai Pujiang Talent Program (2020), Outstanding Young Researcher Award from the Heat Transfer Society of Japan (2019).
https://scholar.google.com/citations?user=1LdD0pAAAAAJ&hl=en
Education background
2008-2014 Tsinghua University, Power Engineering and Engineering Thermophysics, Ph.D.
2004-2008 Nanjing University of Aeronautics and Astronautics, Power Engineering, B.S.
Experience
2014-2015, École Centrale Paris, France, Postdoctoral Researcher
2015-2019, University of Tokyo, Japan, Postdoctoral Researcher
2019-2025, Shanghai Jiao Tong University, Associate Professor
2025-Present, Tsinghua University, School of Aerospace Engineering, Associate Researcher
Social service
2019-2021 Visiting Researcher, The University of Tokyo
2022-Present, Assistant Editors in Chief, Carbon Neutrality
2022-Present, Committee Member of Chinese Standards for Testing and Materials
Areas of Research Interests/ Research Projects
AI-driven materials design
nanoscale thermal transport
advanced thermal management technologies
Honors And Awards
[1] 2024 CSTM Standard Innovation Contribution Award
[2] 2022 Hangzhou Qingshan Lake Materials Genome Engineering Young Scientist Award
[3] 2020 Shanghai Overseas High-Level Talent Program
[4] 2020 Shanghai Pujiang Talent Program
[5] 2019 Outstanding Young Researcher Award, The Heat Transfer Society of Japan
[6] 2018 Best Oral Presentation Award, Japan Society of Applied Physics
[7] 2014 Excellent Ph.D. Thesis Award, Tsinghua University
Academic Achievement
[1] G. Cui, Z. Guo, X. Ren, Y. Jiang, X. Jin, Y. Wu, S. Ju, Active learning for the discovery of binary intermetallic compounds as advanced interconnects, The Journal of Physical Chemistry Letters 16, 3579-3688, 2025.
[2] Y. Li, S. Lu, T. Zhang, X. Ren, S. Zhao, S. Ju, M. Li, Y. Wu, Anisotropic thermal expansion suppression of Cu doped with oriented reduced graphene oxide by anharmonic vibration restriction, Chemical Engineering Journal 510, 161484, 2025.
[3] H. Tang, R. Li, T. Song, S. Ju, Short-term optimal scheduling and comprehensive assessment of hydro-photovoltaic-wind systems augmented with hybrid pumped storage hydropower plants and diversified energy storage configurations, Applied Energy 389, 125787, 2025.
[4] Y. Rao, Y. Wu, C. Zhao, S. Ju, Heterogeneous C-C bonding induced anomalous phonon transport in superhard BC2N polymorphs, Acta Materialia 262, 119454, 2024.
[5] S. Ma, Y. Rao, X. Huang, S. Ju, High-throughput discovery of metal oxides with high thermoelectric performance via interpretable feature engineering on small data. Materials Today Physics 45, 101457, 2024.
[6] T. Liao, C. Zhao, H. Wang, S. Ju, Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast, International Journal of Heat and Mass Transfer 219, 124831, 2024.
[7] X. Huang, S. Ma, C. Zhao, H. Wang, S. Ju, Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors. npj Computational Materials 9, 191, 2023.
[8] X. Huang, S. Ma, Y. Wu, C. Wan, C. Zhao, H. Wang, S. Ju, High-throughput screening of amorphous polymers with high intrinsic thermal conductivity via automated physical feature engineering. Journal of Materials Chemistry A 11, 20539, 2023.
[9] S. Ju, R. Yoshida, C. Liu, S. Wu, K. Hongo, T. Tadano, J. Shiomi, Exploring diamondlike lattice thermal conductivity crystals via feature-based transfer learning, Physical Review Materials 5, 053801, 2021.
[10] S. Ju, T. Shiga, L. Feng, Z. Hou, K. Tsuda, J. Shiomi, Designing nanostructures for phonon transport via Bayesian optimization. Physical Review X 7, 021024, 2017.
